Package: kcmeans
Title: Conditional Expectation Function Estimation with K-Conditional-Means
Version: 0.1.0
Date: 2023-11-28
Authors@R: c(
    person("Thomas", "Wiemann", role = c("aut", "cre"), email = "wiemann@uchicago.edu"))
Description: Implementation of the KCMeans regression estimator studied by 
    Wiemann (2023) <arXiv:2311.17021> for expectation function estimation conditional on 
    categorical variables. Computation leverages the unconditional KMeans 
    implementation in one dimension using dynamic programming algorithm of
    Wang and Song (2011) <doi:10.32614/RJ-2011-015>, allowing for global solutions in time polynomial in 
    the number of observed categories.
License: GPL (>= 3)
URL: https://github.com/thomaswiemann/kcmeans
BugReports: https://github.com/thomaswiemann/kcmeans/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Depends: 
    R (>= 3.6)
Imports: 
    stats,
    Ckmeans.1d.dp,
    MASS,
    Matrix
Suggests: 
    testthat (>= 3.0.0),
    covr,
    knitr,
    rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
